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Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2664955444

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

About this item

Full title

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

Publisher

London: Springer London

Journal title

Neural computing & applications, 2022-06, Vol.34 (12), p.9967-9982

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Recently, spiking neural networks (SNNs), the third generation of neural networks, have shown remarkable capabilities of energy-efficient computing, which is a promising alternative for artificial neural networks (ANNs) with high energy consumption. SNNs have reached competitive results compared to ANNs in relatively simple tasks and small datasets...

Alternative Titles

Full title

Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2664955444

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2664955444

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-022-06984-1

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